Root cause analysis with enriched process logs

S. Suriadi, C. Ouyang, W.M.P. Aalst, van der, A.H.M. Hofstede, ter

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

39 Citaten (Scopus)


n the field of process mining, the use of event logs for the purpose of root cause analysis is increasingly studied. In such an analysis, the availability of attributes/features that may explain the root cause of some phenomena is crucial. Currently, the process of obtaining these attributes from raw event logs is performed more or less on a case-by-case basis: there is still a lack of generalized systematic approach that captures this process. This paper proposes a systematic approach to enrich and transform event logs in order to obtain the required attributes for root cause analysis using classical data mining techniques, the classification techniques. This approach is formalized and its applicability has been validated using both self-generated and publicly-available logs.
Originele taal-2Engels
TitelBusiness Process Management Workshops : BPM 2012 International Workshops, Tallinn, Estonia, September 3, 2012. Revised Papers
RedacteurenM. La Rosa, P. Soffer
Plaats van productieBerlin
ISBN van geprinte versie978-3-642-36284-2
StatusGepubliceerd - 2013
Evenement8th International Workshop on Business Process Intelligence (BPI 2012) - Tallinn, Estland
Duur: 3 sep 20123 sep 2012
Congresnummer: 8

Publicatie series

NaamLecture Notes in Business Information Processing
ISSN van geprinte versie1865-1348


Workshop8th International Workshop on Business Process Intelligence (BPI 2012)
Verkorte titelBPI 2012
AnderBPM 2012

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